Simulation of In-Memory Database Workload: Markov Chains versus Relative Invocation Frequency and Equal Probability - A Trade-off between Accuracy and Time

Maximilian Barnert, Helmut Krcmar. Simulation of In-Memory Database Workload: Markov Chains versus Relative Invocation Frequency and Equal Probability - A Trade-off between Accuracy and Time. In Johann Bourcier, Zhen Ming (Jack) Jiang, Cor-Paul Bezemer, Vittorio Cortellessa, Daniele Di Pompeo, Ana Lucia Varbanescu, editors, ICPE '21: ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, April 19-21, 2021. pages 73-80, ACM, 2021. [doi]

@inproceedings{BarnertK21,
  title = {Simulation of In-Memory Database Workload: Markov Chains versus Relative Invocation Frequency and Equal Probability - A Trade-off between Accuracy and Time},
  author = {Maximilian Barnert and Helmut Krcmar},
  year = {2021},
  doi = {10.1145/3427921.3450237},
  url = {https://doi.org/10.1145/3427921.3450237},
  researchr = {https://researchr.org/publication/BarnertK21},
  cites = {0},
  citedby = {0},
  pages = {73-80},
  booktitle = {ICPE '21: ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, April 19-21, 2021},
  editor = {Johann Bourcier and Zhen Ming (Jack) Jiang and Cor-Paul Bezemer and Vittorio Cortellessa and Daniele Di Pompeo and Ana Lucia Varbanescu},
  publisher = {ACM},
  isbn = {978-1-4503-8194-9},
}